![]() El objetivo de la presente investigación es hacer uso del reconocimiento de imágenes aplicando AutoML para optimizar la identificación de canes callejeros que se encuentran en estado de pérdida. La población de canes callejeros aumenta cada año, por ello se han implementa-do tecnologías, protocolos y proyectos legislativos en los países para frenarlo. Keywords: AutoML Vision, image recognition, lost dogs, machine learning, street dogs. From the results of the validation, it was found that our proposal managed to optimize the time and precision in the identification of lost dogs by 45%, compared to other web platforms. The implemented methodology consists of 4 phases: approach to the research questions, generation of the model via machine learning, development of the mobile application where the generated model was integrated, and validation of the proposal with 2 case studies. ![]() The objective of this research is to make use of image recognition (machine learning) to optimize the identification of stray dogs that are in a state of loss. The population of stray dogs increases every year, which is why technologies, protocols, and legislative projects have been implemented in different countries to stop it. ![]()
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